TY - JOUR
AU - Harris, James S.
AB - Birefringent optical materials can be used to convert mechanical strain into fringe patterns of optical intensity which have typically been used to measure surface stains or stresses. In this paper a system will be described that uses a photoelastic transducer, linear sensor array, and neural network image processing to estimate the load torque for stationary and rotating motor shafts up to 1500 rpm. A photoelastic polymer coupling is attached to the shaft, and illuminated by polarized light. As the shaft torque varies the photoelastic plastic coupling experiences torsional strain. This results in a corresponding 2D fringe pattern when viewed through an optical polarizer. The strain that causes this observed pattern in a complex function of the applied torque applied to the shaft. A neural network is trained with the fringe patterns corresponding to calibrated load torques as measured by a laboratory strain gauge torque sensor. Experimental results show that the neural network torque estimator can accurately estimate the applied torque for both static and rotating shafts.
TI - Birefringent torque sensor for motors
JO - Proceedings of SPIE
DO - 10.1117/12.334339
DA - 1998-12-29
UR - https://www.deepdyve.com/lp/spie/birefringent-torque-sensor-for-motors-qmBVmH6EPR
SP - 254
EP - 261
VL - 3520
IS - 1
DP - DeepDyve
ER -